Machine Learning Collection

In this repository you will find tutorials and projects related to Machine Learning. I try to make the code as clear as possible, and the goal is be to used as a learning resource and a way to lookup problems to solve specific problems. For most I have also done video explanations on YouTube if you want a walkthrough for the code. If you got any questions or suggestions for future videos I prefer if you ask it on YouTube. This repository is contribution friendly, so if you feel you want to add something then I'd happily merge a PR 😃

Table Of Contents

Machine Learning Algorithms
PyTorch Tutorials
TensorFlow Tutorials
- Beginner Tutorials
- Architectures

Machine Learning

Linear Regression - With Gradient Descent ✅
Linear Regression - With Normal Equation ✅
Logistic Regression
Naive Bayes - Gaussian Naive Bayes
K-nearest neighbors
K-means clustering
Support Vector Machine - Using CVXOPT
Neural Network
Decision Tree

PyTorch Tutorials

If you have any specific video suggestion please make a comment on YouTube :)

Basics

More Advanced

Text Generating LSTM
Semantic Segmentation w. U-NET
Image Captioning
Neural Style Transfer
Torchtext [1] Torchtext [2] Torchtext [3]
Seq2Seq - Sequence to Sequence (LSTM)
Seq2Seq + Attention - Sequence to Sequence with Attention (LSTM)
Seq2Seq Transformers - Sequence to Sequence with Transformers
Transformers from scratch - Attention Is All You Need

Object Detection

Object Detection Playlist

Generative Adversarial Networks

GAN Playlist

Architectures

LeNet5 - CNN architecture
VGG - CNN architecture
Inception v1 - CNN architecture
ResNet - CNN architecture
EfficientNet - CNN architecture

TensorFlow Tutorials

If you have any specific video suggestion please make a comment on YouTube :)

Beginner Tutorials

Tutorial 1 - Installation, Video Only
Tutorial 2 - Tensor Basics
Tutorial 3 - Neural Network
Tutorial 4 - Convolutional Neural Network
Tutorial 5 - Regularization
Tutorial 6 - RNN, GRU, LSTM
Tutorial 7 - Functional API
Tutorial 8 - Keras Subclassing
Tutorial 9 - Custom Layers
Tutorial 10 - Saving and Loading Models
Tutorial 11 - Transfer Learning
Tutorial 12 - TensorFlow Datasets
Tutorial 13 - Data Augmentation
Tutorial 14 - Callbacks
Tutorial 15 - Custom model.fit
Tutorial 16 - Custom Loops
Tutorial 17 - TensorBoard
Tutorial 18 - Custom Dataset Images
Tutorial 19 - Custom Dataset Text
Tutorial 20 - Classifying Skin Cancer - Beginner Project Example

CNN Architectures

License

idhamari/Machine-Learning-Collection

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